Multiple objective test assembly problems

Journal of Educational Measurement

Volumn 36, Issue 3, 1999, Pages 253-266

  Veldkamp, Bernard P ^a  

^a UNIVERSITY OF TWENTE   (Netherlands)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0033246632     PISSN: 00220655     EISSN: None     Source Type: Journal    
DOI: 10.1111/j.1745-3984.1999.tb00557.x     Document Type: Article

References (21)

1. Aarts, E., & Lenstra, J. K. (1997). Local search in combinatorial optimization. Chichester, England: John Wiley & Sons Ltd.
2. Adema, J. J. (1987). Simultane toetsconstructie en andere doelen dan maximalisatie van alpha [Simultaneous test construction and other objectives than maximizing alpha] (Rapport 87-4). Enschede: University of Twente, Department of Education.
3. Armstrong, R. D., Jones, D. H., & Wu, I-L. (1992). An automated test development of parallel tests from a seed test. Psychometrika, 57, 271-288.
4. Bock, R. D., & Aitkin, M. (1981). Marginal maximum likelihood estimation of item parameters: Application of an EM algorithm. Psychometrika, 46, 443-459.
5. Boekkooi-Timminga, E. (1989). Models for computerized test construction. De Lier, The Netherlands: Academisch Boeken Centrum.
6. Boekkooi-Timminga, E. (1987). Simultaneous test construction by zero-one programming. Methodika, 1, 101-112.
7. Feuermann, M., & Weiss, H. (1973), A mathematical programming model for test construction and scoring. Management Science, 19, 961-966.
8. Hwang, C-L, & Masud, A. S. (1979). Multiple objective decision making-methods and applications. Heidelberg: Springer Verlag.
9. Ignizio, P. I. (1982). Linear programming in single and multiple objective systems. Englewood Cliffs, NJ: Prentice-Hall Inc.
10. Luecht, R. M., & Hirsch, T. M. (1992). Item selection using an average growth approximation of target information functions. Applied Psychological Measurement, 16, 41-51.
11. Luecht, R. M. (1996). Multidimensional computerized adaptive testing in a certification or licensure context. Applied Psychological Measurement, 20, 389-404.
12. Metropolis, N., Rosenbluth, A., Rosenbluth, M., Teller, A., & Teller, M. (1953). Equation of state calculations by fast computing machines. Journal of Chemical Physics, 21, 1087-1092.
13. Mollaghasemi, M., & Pet-Edwards, J. (1997). Making multiple objective decisions. Los Alamitos, CA: IEEE Computer Society Press.
14. Reckase, M. D. (1997). A linear logistic multidimensional model for dichotomous item response data. In W. J. van der Linden & R. K. Hambleton (Eds.), Handbook of modern item response theory (pp. 271-286). New York, NY: Springer Verlag.
15. Swanson, L., & Stocking, M. (1993). A model and heuristic for solving very large item selection problems. Applied Psychological Measurement, 17, 151-166.
16. Theunissen, T.J.J.M. (1985). Binary programming and test design. Psychometrika, 50, 411-420.
17. van der Linden, W. J. (1996). Assembling tests for the measurement of multiple abilities. Applied Psychological Measurement, 20, 373-388.
18. van der Linden, W. J., & Boekkooi-Timminga, E. (1989). A maximin model for test design with practical constraints. Psychometrika, 54, 237-247.
19. Veldkamp, B. P. (1998) Multidimensional test assembly based on Lagrangian relaxation techniques. (Research Report No. 98-08). Enschede, The Netherlands: University of Twente, Department of Educational Technology.
20. Votaw, D. F. (1952). Methods of solving some personnel problems. Psychometrika, 17, 255-266.
21. Yen, W. M. (1983). Use of the three-parameter model in the development of standardized achievement tests. In R. K. Hambleton (Ed.), Applications of item response theory (pp. 123-141). Vancouver: Educational Research Institute of British Columbia.